Identifying surface minerals remotely is crucial for natural resource management. Remote sensing allows for efficient mapping of mineral distributions, which is beneficial for the mining and energy sectors, reducing the costs and difficulties of on-the-ground exploration. Moreover, mineral dust from sources like mines and deserts significantly impacts climate, air quality, and ecosystems. Hyperspectral sensors, such as EMIT, are often used to identify dust sources and track their effects on atmospheric conditions, weather, and human health. However, challenges arise when certain minerals are nearly featureless in the sensor's designed wavelength range, or when spectral features overlap, making it difficult to distinguish between minerals.